lmom2par {lmomco} | R Documentation

## Convert L-moments to the the Parameters of a Distribution

### Description

This function converts the L-moments of the data to the parameters of a distribution. The type of distribution is specified in the argument list: `exp`, `gam`, `gev`, `gld`, `glo`, `gno`, `gpa`, `gum`, `kap`, `nor`, `pe3`, `revgum`, `wak`, or `wei`. There is no Cauchy distribution support by the `lmom2par` function because Cauchy uses TL-moments and not the ordinary L-moments. For Cauchy functions such as `parcau` and `lmomcau` should be used in accordance with their documentation.

### Usage

    lmom2par(lmom, type, ...)

### Arguments

`lmom` | An L-moment object such as that returned by `lmom.ub` or `pwm2lmom`.
`type` | Three character distribution type (for example, `type='gev'`).
`...` | Additional arguments for the `parCCC` functions.

### Value

An R `list` is returned. This list should contain at least the following items, but some distributions such as the `revgum` have extra.

`type` | The type of distribution in three character format.
`para` | The parameters of the distribution.
`source` | Attribute specifying source of the parameters.

### Author(s)

W.H. Asquith

### References

Hosking, J.R.M., 1990, L-moments–Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, vol. 52, p. 105-124.

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis–An approach based on L-moments: Cambridge University Press.

### See Also

`lmom2par`

### Examples

    lmr      <- lmom.ub(rnorm(20))
    para     <- lmom2par(lmr,type='nor')
    frompara <- par2lmom(para)
    lmom.diff(frompara,lmr)

[Package lmomco version 0.92 Index]